Two-stage stochastic program optimizing the cost of electric vehicles in commercial fleets
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DOI: 10.1016/j.apenergy.2021.116649
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- Bagheri Tookanlou, Mahsa & Pourmousavi, S. Ali & Marzband, Mousa, 2023. "A three-layer joint distributionally robust chance-constrained framework for optimal day-ahead scheduling of e-mobility ecosystem," Applied Energy, Elsevier, vol. 331(C).
- David Watling & Patrícia Baptista & Gonçalo Duarte & Jianbing Gao & Haibo Chen, 2022. "Systematic Method for Developing Reference Driving Cycles Appropriate to Electric L-Category Vehicles," Energies, MDPI, vol. 15(9), pages 1-28, May.
- Wang, Yubin & Dong, Wei & Yang, Qiang, 2022. "Multi-stage optimal energy management of multi-energy microgrid in deregulated electricity markets," Applied Energy, Elsevier, vol. 310(C).
- Wang, Kung-Jeng & Basuki, Satrio Samudro Aji & Kurniati, Nani, 2023. "A life-cycle asset management model by response surface method based optimization," International Journal of Production Economics, Elsevier, vol. 263(C).
- Arkadiusz Małek & Jacek Caban & Agnieszka Dudziak & Andrzej Marciniak & Piotr Ignaciuk, 2023. "A Method of Assessing the Selection of Carport Power for an Electric Vehicle Using the Metalog Probability Distribution Family," Energies, MDPI, vol. 16(13), pages 1-16, June.
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Keywords
Battery electric vehicle; Total cost of ownership; Stochastic programming; Hidden Markov model; Scenario reduction;All these keywords.
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